Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Rantos Computers2020 9-1.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Schmidt BMCMedInfoDecMak2020 20.png|240px]]</div>
'''"[[Journal:Interoperability challenges in the cybersecurity information sharing ecosystem|Interoperability challenges in the cybersecurity information sharing ecosystem]]"'''
'''"[[Journal:Definitions, components and processes of data harmonization in healthcare: A scoping review|Definitions, components and processes of data harmonization in healthcare: A scoping review]]"'''


Threat intelligence helps businesses and organizations make the right decisions in their fight against cyber threats, and strategically design their digital defenses for an optimized and up-to-date security situation. Combined with advanced security analysis, threat intelligence helps reduce the time between the detection of an attack and its containment. This is achieved by continuously providing [[information]], accompanied by data, on existing and emerging cyber threats and vulnerabilities affecting corporate networks. This paper addresses challenges that organizations are bound to face when they decide to invest in effective and interoperable [[cybersecurity]] information sharing, and it categorizes them in a layered model. Based on this, it provides an evaluation of existing sources that share cybersecurity information. The aim of this research is to help organizations improve their cyber threat information exchange capabilities, to enhance their security posture and be more prepared against emerging threats. ('''[[Journal:Interoperability challenges in the cybersecurity information sharing ecosystem|Full article...]]''')<br />
[[Data cleansing|Data harmonization]] (DH) has is increasingly being used by health managers, information technology specialists, and researchers as an important intervention for [[Health information technology|routine health information systems]] (RHISs). It is important to understand what DH is, how it is defined and conceptualized, and how it can lead to better health management decision-making. This scoping review identifies a range of definitions for DH, its characteristics (in terms of key components and processes), and common explanations of the relationship between DH and health management decision-making. This scoping review identified more than 2,000 relevant studies (date filter) written in English and published in PubMed, Web of Science, and CINAHL. Two reviewers independently screened records for potential inclusion for the abstract and full-text screening stages. ('''[[Journal:Definitions, components and processes of data harmonization in healthcare: A scoping review|Full article...]]''')<br />
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Revision as of 15:12, 18 October 2021

Fig2 Schmidt BMCMedInfoDecMak2020 20.png

"Definitions, components and processes of data harmonization in healthcare: A scoping review"

Data harmonization (DH) has is increasingly being used by health managers, information technology specialists, and researchers as an important intervention for routine health information systems (RHISs). It is important to understand what DH is, how it is defined and conceptualized, and how it can lead to better health management decision-making. This scoping review identifies a range of definitions for DH, its characteristics (in terms of key components and processes), and common explanations of the relationship between DH and health management decision-making. This scoping review identified more than 2,000 relevant studies (date filter) written in English and published in PubMed, Web of Science, and CINAHL. Two reviewers independently screened records for potential inclusion for the abstract and full-text screening stages. (Full article...)

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